RESEARCH CORPUS / WORKSTATION
Searchable paper corpus: SQLite index, readable source exports, and a verified provenance manifest.
C:\\Users\\yasin\\.codex\\work\\merquan-corpus-20260725-v4\\corpus.sqlite · extracted_text\\ · verified_manifest.jsonl
Where MERQUAN’s current research corpus, QTS snapshots, live DTN market files, and Syntrad interface are stored. Use this page as a map of the real storage locations and their intended jobs.
Searchable paper corpus: SQLite index, readable source exports, and a verified provenance manifest.
C:\\Users\\yasin\\.codex\\work\\merquan-corpus-20260725-v4\\Non-live QTS code, immutable eligibility snapshots, receipts, quality audits, and shadow-only model outputs. Live DTN data remains on 139.
161:/opt/merquan/qts-factory/factory/Authoritative instrument taxonomy, DTN/IQFeed market-symbol master, and active front-month contract list.
139:/opt/merquan/replay-bridge/data/instrument_taxonomy_registry.jsonThe deployed Syntrad single-page terminal and this reference tab.
161:/var/www/syntrad/index.htmlTernFS is XTX Markets’ distributed filesystem design. When deployed, file contents are split into immutable blocks across storage services; a registry stores the metadata that says which blocks form each file. It is not one folder on one server.
Status today: not deployed — no TernFS files stored in MERQUAN.Why the implementation is split between C++ and Go, how it is built, and where it fits—and does not fit—in MERQUAN.
ternfs.ko is the C Linux kernel module: the fastest client path. It is Linux-only.
FUSE remains available as a Go client path where a kernel module is not appropriate.
Build modes:
./build.sh alpine # Docker / fully staticci.py runs integration tests. ternrun starts a full local instance: 256 shards, CDC, registry, block services, web, GC, and a FUSE mount.
TernFS is Linux-native. Docker Desktop or WSL2 can build the containerised Go/C++ services; the kernel module and its qemu tests are Linux-only.
Under MERQUAN’s current remote-only policy, we do not use a Windows workstation for this source. The remote checkout on 161 can be read, built, modified, and extended in a Linux container.
This matches a smaller-scale version of XTX’s stated use case: cold raw market data flowing into short-lived random-access datasets between GPU jobs.
TernFS is a data-lake substrate for large immutable datasets—not a mutable store, not an order-routing system, and not a replacement for a live market database.
Remote source only: 161:/opt/merquan/qts-factory/vendor/ternfs/ · Commit: 855fcfb7a812f2ce0648f06ed56dec8f8ba839f4QPanda3 and Origin Quantum’s algorithm library are the quantum-compute research layer for MERQ-QTS: a reproducible, shadow-only laboratory for optimisation, feature selection, quantum kernels, regression, and risk experiments.
Official Apache-2.0 Origin Quantum source. Pinned for reproducible research at commit 5d7af4cab02763626b22ffa98a033dc796bd3f49.
161:/var/www/syntrad/labs/pyqpanda-algorithm-origin/Python 3.12 virtual environment, pyqpanda3 0.4.0, and pyqpanda_alg 2.0.0 are installed. QAOA/QSVR simulator smoke checks passed. There is no systemd unit or continuous worker.
161:/opt/merquan/qts-factory/quantum/origin-quantum/venv/Also QSVM, QSVR, QPCA, QSVD, Grover, QKMeans, QMRMR, and QARM. The right use is benchmarked hybrid research, never assumed quantum advantage.
The worker consumes versioned 161 QTS snapshots only, with symbol identity, data hashes, and as-of timestamps. It does not read or alter live feeds directly.
161:/opt/merquan/qts-factory/artifacts/Compare classical baselines against QUBO/QAOA allocation and QMRMR feature-selection experiments on a small certified pilot cohort.
Quantum outputs are labelled experimental, receipt-hashed, and shadow-only. They cannot route orders, change production weights, or promote models.
The bounded NAWA eight-engine QUBO completed on Origin Wukong 180-2. Tuned p=1 reduced hardware average QUBO energy from 0.842 to 0.042, but did not beat the classical exact optimum; it remains research evidence, not a model change.
161:/opt/merquan/qts-factory/quantum/origin-quantum/artifacts/nawa_qubo_wukong2_tuned_20260726T213603Z/A 5,000-bar DTN/IQFeed archive window was receipt-hashed from 139 to 161. Training selected NAWA e1 + e2 + e6; Wukong-2 preserved the exact three-engine constraint 61.7% of the time and sampled that classical optimum 4.38% of the time, close to the 4.51% ideal expectation. The five-window test is exploratory only.
161:/opt/merquan/qts-factory/quantum/origin-quantum/artifacts/nawa_qgcq26_wukong2_20260726T214954Z/| AGENT | MODEL | COST | LAST OUTPUT |
|---|---|---|---|
| Loading… | |||
| # | PARAM | CHANGE | SHARPE | DELTA | DECISION |
|---|---|---|---|---|---|
| No experiments yet | |||||
Loading staged settings...
| Model | Params | FinQA | ConvFinQA | Average |
|---|---|---|---|---|
| DeepSeek-R1 | 671B | 71.0 | 82.0 | 78.2 |
| Fin-R1 | 7B | 76.0 | 85.0 | 75.2 |
| Qwen-2.5-32B-Instruct | 32B | 72.0 | 78.0 | 73.8 |
| Fin-R1-SFT | 7B | 73.0 | 81.0 | 71.9 |
SkillOpt-Sleep turns local agent experience into validation-gated skill proposals. The engine runs on Yasin's PC, where the transcripts live. MerqIntel server 161 hosts this reference and status surface only; it never receives raw transcripts or provider credentials.